What 17O-excess May Tell about Evaporation in the Past
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| Title: | Main Title: What 17O-excess May Tell about Evaporation in the Past |
| Description: | Abstract: Deviations of triple oxygen isotope ratios from the meteoric water line (17Oexcess) can be extracted from gypsum, carbonates, amorphous silicates and ice. The underlying evaporation fundamentals in nature are now sufficiently understood that this parameter may become a useful quantitative tool in (paleo)hydrology. Case studies from ponds and lakes desert in Chile (Atacama) and Iran (Sistan Province) demonstrate that the two fundamental types of evaporation -with and without constant recharge -imprint a specific isotopic signature ofnegative 17O-excess and positive δ18O values on the remaining water. Magnitudes depend strongly on humidity as predicted by the classic Craig-Gordon model. Authigenic mineral precipitates inherit this signature either in structurally bound water or in components that are in equilibrium with water while dissolved. Increasing evaporative loss -either between adjacent lakes or between different stages in the same lake over time -result in characteristic trends defined mostly by relative humidity. It is principally possible to reconstruct paleohumidity changes from lake sediments, or even absolute values as was recently demonstrated [1]. Generally, a successful reconstruction depends on two aspects. The first is the correct identification of reacharge and non-recharge evaporation conditions. The other is the magnitude of the offset in 17O-excess and δ18O between vapor of the ambient atmosphere that the lake evaporates into, and initial groundwater or runoff water that supplies the lake. This offset determineshow well evaporation trends at distinct relative humidities are resolvable. A case study from the glaciated German high Alps reveals another aspect of evaporation that may become available from 17O-excess studies. Local winter and spring vapor appears tofall on well-defined mixing lines between the local evaporation end-member with distinctively positive 17O-excess and negative δ18O values, and the advected moisture’s initial that is comparatively insensititve to variable moisture recycling along the airtrajectory from its Atlantic source. If that finding can be reproduced elsewhere, it may become possible to reconstruct the past’s regional hydrologic balance of high altitude glaciers from ice and snow pit records. |
Responsible Party
| Creators: | Michael Staubwasser (Author), Daniel Herwartz (Author), Jakub Surma (Author), Claudia Voigt (Author) |
| Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit |
| Publisher: | CRC1211 Database (CRC1211DB) |
| Publication Year: | 2019 |
Topic
| CRC1211 Topic: | Climate |
| Related Subproject: | D3 |
| Subjects: | Keywords: Stable Isotope Geochemistry, Paleoclimate Proxies |
| Geogr. Information Topic: | Environment |
File Details
| Filename: | 2019_Goldschmidt_Talk.pdf |
| Data Type: | Text - Text |
| File Size: | 2.8 MB |
| Date: | Issued: 22.08.2019 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | In Process |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | [CRC1211DB] Data policy agreement |
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Specific Information - Presentation
| Presenter: | Michael Staubwasser |
| Presentation Date: | 22nd of August, 2019 |
| Presentation Type: | Talk |
| Event: | Goldschmidt Conference 2019 |
| Event Type: | Conference |
| Event Location: | Barcelona |
| Event Duration: | 18th of August, 2019 - 23rd of August, 2019 |
| Event Website: | https://goldschmidt.info/2019/ |
Metadata Details
| Metadata Creator: | Claudia Voigt |
| Metadata Created: | 04.09.2019 |
| Metadata Last Updated: | 04.09.2019 |
| Subproject: | D3 |
| Funding Phase: | 1 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 141 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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